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1.
China Journal of Chinese Materia Medica ; (24): 1070-1075, 2020.
Artigo em Chinês | WPRIM | ID: wpr-1008474

RESUMO

The application of traditional Chinese medicine(TCM) formula granules in clinical practice is gradually extensive. However, TCM formula granules is still lacking rapid and simple quality control standards. In this study, allele-specific PCR and enzyme-linked immunoassay(ELISA) was used for rapid detection of the quality of Lonicerae Japonicae Flos formula granules. The authenticity of Lonicerae Japonicae Flos formula granules was identified by allele-specific PCR and index component was detected by ELISA. Thus, it lays a foundation for the establishment of rapid quality detection standard for Lonicerae Japonicae Flos formula granules, and also provides reference for other studies on the quality standard of traditional Chinese medicine formula granules.


Assuntos
Cromatografia Líquida de Alta Pressão , Medicamentos de Ervas Chinesas/análise , Ensaio de Imunoadsorção Enzimática , Lonicera/química , Medicina Tradicional Chinesa , Reação em Cadeia da Polimerase , Controle de Qualidade
2.
Journal of Peking University(Health Sciences) ; (6): 339-345, 2020.
Artigo em Chinês | WPRIM | ID: wpr-942009

RESUMO

OBJECTIVE@#To evaluate the gingival thickness and gingival biotype of gingival recession teeth of Chinese population.@*METHODS@#A total of 112 non-molar teeth with gingival recession in 34 patients were included. Direct measurement, cone-beam computerized tomography (CBCT) measurement and periodontal probe method were used to evaluate gingival thickness and biotype. Gingival thickness was measured at 2 mm apical to the gingival margin. Direct measurement was performed with a caliper of 0.01 mm resolution and anesthesia needles attached to silicone disk stops. Gingival biotype was assessed by sulcus probing, if the periodontal probe was visible through the gingival tissue, the gingival biotype was thin; If not visible, the gingival biotype was thick. The differences of gingival thickness among different gingival biotype, tooth site and gingival recession type were analyzed respectively. Besides, the results of CBCT measurement was analyzed compared with the direct measurement.@*RESULTS@#The average gingival thickness of non-molar recession teeth was (1.17±0.41) mm. The average gingival thickness of thick and thin biotype group were (1.38±0.4) mm and (0.97±0.30) mm, respectively, with statistically significant difference (P<0.001). The median of gingival thickness was 1.1 mm. Using 1.1 mm as the cut-off value of thick and thin gingival thickness group, the results matched well with the gingival biotype classification results by periodontal probe method (P=1.000). The average gingival thickness of maxillary teeth was significantly thicker than that of the mandibular teeth. They were (1.39±3.44) mm and (1.01±0.31) mm, respectively (P<0.001). The mean gingival thickness of MillerI, II and III degree gingival recession teeth were (1.15±0.34) mm, (0.83±0.17) mm and (1.26±0.56) mm, respectively, without statistically significant difference (P=0.205). The gingival thickness measurement results between CBCT method and direct measurement were without statistically significant difference (P=0.206).@*CONCLUSION@#In the non-molar gingival recession teeth, the cut-off value of gingival thickness to classify thick and thin biotype of Chinese population was 1.1 mm. The average gingival thickness of the maxillary teeth was significantly thicker than that of the mandibular teeth. Besides, CBCT measurement was an accuracy method for evaluating facial gingival thickness.


Assuntos
Humanos , Tomografia Computadorizada de Feixe Cônico , Gengiva , Retração Gengival , Incisivo , Maxila
3.
Journal of Peking University(Health Sciences) ; (6): 80-85, 2019.
Artigo em Chinês | WPRIM | ID: wpr-941774

RESUMO

OBJECTIVE@#To evaluate the clinical outcomes of vestibular incision subperiosteal tunnel access (VISTA) with connective tissue graft (CTG) in the treatment of Miller classes I and II localized gingival recession.@*METHODS@#Ten patients with 10 Miller classes I and II localized gingival recessions were enrolled in the study. All defects were equal to or above 2 mm in recession depth. All the patients received treatment with VISTA+CTG. Their clinical parameters, including recession depth (Rec), recession width (RW), keratinized tissue width (KT), clinical attachment loss (CAL), probing depth (PD) were recorded and compared before surgery and 6 months later. The mean root coverage (MRC) and complete root coverage (CRC) were calculated at the end of 6 months. A visual analogue scale (VAS) was used to estimate the patients' discomfort during the operation and during the 2 weeks post-operation. Patient-based aesthetic satisfaction 6 months after surgery was evaluated by a VAS.@*RESULTS@#The mean Rec was (2.65±0.82) mm at baseline, and (0.35±0.58) mm after 6 months. The VISTA+CTG treatment resulted in an improvement of (2.30±0.98) mm in recession depth (P<0.001). MRC was 86.67%±21.94% and CRC reached 70% at the end of 6 months. KT increased (0.90±1.22) mm (P<0.05). Aesthetic satisfaction on the patients' level was 8.30 based on VAS (0=unsatisfied, 10=extremely satisfied). The patients' discomfort during the operation and 2 weeks post operation were 2.40 and 4.30 (0=no pain, 10=extreme pain). Furthermore, clinical outcomes showed no statistically significant difference between the gingival biotypes, and between the teeth positioned in maxillary and in mandibular.@*CONCLUSION@#VISTA+CTG could be an effective treatment for Miller classes I and II localized gingival recession. Clinical outcomes indicated decrease in recession depth and width, and increase in width of keratinized tissue. Patients suffered little pain during the operation and 2 weeks post-operation of healing and accessed good aesthetic satisfaction. VISTA+CTG could be an option for the treatment of Miller classes I and II localized gingival recession.


Assuntos
Humanos , Tecido Conjuntivo , Gengiva , Retração Gengival , Gengivoplastia , Raiz Dentária , Resultado do Tratamento
4.
Journal of Forensic Medicine ; (6): 273-279, 2019.
Artigo em Inglês | WPRIM | ID: wpr-985006

RESUMO

Objective To observe the expression changes of nuclear factor-erythroid derived 2-related factors (Nrf2) in different cells at different time points after human cerebral cortex contusion, and to discuss its application in brain wound age estimation. Methods Thirty-six human brain tissues were selected, of which 6 were for control and 30 were cortical contusion at different time points post-injury, which were divided into 0-1 h, 3-6 h, 1-3 d, 5-7 d, and 10-14 d post-injury groups, with 6 cases in each group. Based on paraffin embedded sections, HE staining was used to observe the morphological changes post-injury, and double immunofluorescence staining was used to detect the expression of Nrf2 in neurons, astrocytes, and microglia. The number of positive cells was counted and statistical analysis was made. Results The number of neurons decreased 1-3 d post-injury. The expression of Nrf2 cells in neurons increased after injury, and the rate of positive cells peaked at 1-3 d post-injury. Glial cells were activated 1-3 d post-injury, and the activation peaked at 5-7 d post-injury. The cerebromalacia began to form at 10-14 d post-injury. Glial fibrillary acidic protein (GFAP) positive cells in mice increased gradually after injury and peaked at 5-7 d post-injury, while the proportion of Nrf2 in GFAP positive cells was relatively stable. After injury, ionized calcium-binding adapter molecule 1 (IBA1) positive cells increased and activated gradually. The expression proportion of Nrf2 in IBA1 positive cells increased gradually, reached its peak at 5-7 d post-injury, and then decreased. Conclusion The expression of Nrf2 in different cells involves in the biological function of different cells post-injury, and the dynamic expression of single cells has a time-dependent pattern. This may provide a new reference index for the wound age estimation of brain contusion in human.


Assuntos
Animais , Humanos , Camundongos , Contusão Encefálica , Córtex Cerebral , Proteína Glial Fibrilar Ácida , Fator 2 Relacionado a NF-E2
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